Search Results - (( problem orientation based algorithm ) OR ( java adaptation optimization algorithm ))
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Parallel distributed genetic algorithm development based on microcontrollers framework
Published 2023Conference paper -
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Applying case reuse and Rule-Based Reasoning (RBR) in object-oriented application framework documentation: Analysis and design
Published 2023“…The use of rule-based reasoning and genetic algorithms will optimize the case search and case adaptation process. �2008 IEEE.…”
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Food image representation based on modified orientation map
Published 2017“…Orientation map is an image representation method representing edges of objects in an image as a set of short line segments instead of pixels representation.The orientation map approach not only aims to extract the key orientation information which constitutes the semantic framework of the visual scene, but also to remove the insignificant elements which barely play a role in image understanding.However, there are two main problems in the current computational approach of orientation map: 1-the outliers in the orientation map 2- the deformities in some line segments.These two problems have an adverse impact on any algorithmic work for image interpretation. …”
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Object-Oriented Programming semantics representation utilizing agents
Published 2011“…The algorithm requires source codes comparison based on keyword similarity to extract the words that exist in the two related source codes. …”
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Modeling and optimization of cost-based hybrid flow shop scheduling problem using metaheuristics
Published 2023“…In the future, other optimization algorithms will be tested for the CHFS model, such as Teaching Learning Based Optimization (TLBO) and the Crayfish Optimization Algorithm (COA).…”
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Tourist Trip Design Problem with user preference and popularity: a case study of Langkawi Island / Nabilah Anuar Ahmad and Huda Zuhrah Ab. Halim
Published 2023“…This study proposed enhancement in the greedy algorithm approach (Benjamin et al., 2019). A greedy algorithm solves a problem that selects the most appropriate option based on the current situation. …”
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Book Section -
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Development of a task-oriented, auction-based task allocation framework for a heterogeneous multirobot system
Published 2020“…The developed framework consists of a novel heuristic-based task allocation algorithm and communication module. …”
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Software metrics selection model for predicting maintainability of object-oriented software using genetic algorithms
Published 2016“…The latest effort to solve this selection problem is the development of the metrics selection model that uses genetic algorithm (GA). …”
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Thesis -
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SVD-gorank: Recommender system algorithm using SVD and gower's ranking
Published 2025“…The problem is that this algorithm is limited to only the rating weights used. …”
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Investigation Of Torque And Flux-Current Producing Components In Indirect Rotor Flux Oriented Control (IRFOC) Of Induction Machines
Published 2016“…The algorithm and controller that been used is Field Oriented Control (FOC) because it is the first method in drive system that are been used in order to solve the induction machine problems. …”
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Pose estimation algorithm for mobile Augmented Reality based on inertial sensor fusion
Published 2021“…The algorithm used for feature detection and description is Oriented-FAST Rotated-BRIEF (ORB), whereas to evaluate the homography for pose estimation, Random Sample Consensus (RANSAC) is used. …”
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A review of assembly line balancing optimisation with energy consideration using meta-heuristic algorithms
Published 2021“…The selected articles were limited to problems solved using meta-heuristic algorithms. The review mainly focusses on the soft computing aspect such as problem variant, optimisation objectives, energy modelling and optimisation algorithm for ALB with energy consideration. …”
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Camera orientation determination based on copper wire spool shape
Published 2020“…Inspired by how human perceive an object orientation based on its shape, an algorithm is developed to determine robot orientation based on the shape of a copper wire spool relative to camera position and yaw angle. …”
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Conference or Workshop Item -
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Camera geometry determination based on circular's shape for peg-in-hole task
Published 2019“…Inspired by how human perceive an object orientation based on its shape, a system is developed to determine camera orientation based on the spool image condition and yaw angle from the center of the camera (CFOV) to CHS. …”
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Thesis -
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Vision-based autonomous robot body alignment for copper wire spool pick up
Published 2019“…Inspired by how human perceive an object orientation based on its shape, a system is developed to determine camera orientation based on the spool image condition and yaw angle from the center of the camera (CFOV) to CHS. …”
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Research Report -
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Image orientation based watermarking technique in copyright protection
Published 2017“…The first raises the need to consider original image quality as the main evidence over any other clues whereas the second denotes the lack of an adequate common measure that prove the superiority of one technique over another and then prevent improvement on efficiency and quality of algorithms. In seeking to address this problem, this research proposes a new image orientation watermarking technique based on the possession of the highest quality of the original image as the main evidence in copyright disputes and proposes a generic measure capable of scoring the performance of the different proposals. …”
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Discovering optimal clusters using firefly algorithm
Published 2016“…Existing conventional clustering techniques require a pre-determined number of clusters, unluckily; missing information about real world problem makes it a hard challenge.A new orientation in data clustering is to automatically cluster a given set of items by identifying the appropriate number of clusters and the optimal centre for each cluster.In this paper, we present the WFA_selection algorithm that originates from weight-based firefly algorithm.The newly proposed WFA_selection merges selected clusters in order to produce a better quality of clusters.Experiments utilising the WFA and WFA_selection algorithms were conducted on the 20Newsgroups and Reuters-21578 benchmark dataset and the output were compared against bisect K-means and general stochastic clustering method (GSCM).Results demonstrate that the WFA_selection generates a more robust and compact clusters as compared to the WFA, bisect K-means and GSCM.…”
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